Name
Title | ||
|---|---|---|
Implementing support vector regression with differential evolution to forecast motherboard shipments |
Abstract | ||
|---|---|---|
In this study, we investigate the forecasting accuracy of motherboard shipments from Taiwan manufacturers. A generalized Bass diffusion model with external variables can provide better forecasting performance. We present a hybrid particle swarm optimization (HPSO) algorithm to improve the parameter estimates of the generalized Bass diffusion model. A support vector regression (SVR) model was recently used successfully to solve forecasting problems. We propose an SVR model with a differential evolution (DE) algorithm to improve forecasting accuracy. We compare our proposed model with the Bass diffusion and generalized Bass diffusion models. The SVR model with a DE algorithm outperforms the other models on both model fit and forecasting accuracy. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1016/j.eswa.2013.12.022 | Expert Syst. Appl. |
Keywords | Field | DocType |
taiwan manufacturer,bass diffusion,forecasting accuracy,de algorithm,model fit,generalized bass diffusion model,motherboard shipment,svr model,differential evolution,implementing support vector regression,better forecasting performance,particle swarm optimization,support vector regression | Particle swarm optimization,Bass (fish),Data mining,Motherboard,Computer science,External variable,Support vector machine,Bass diffusion model,Differential evolution,Artificial intelligence,Machine learning | Journal |
Volume | Issue | ISSN |
41 | 8 | 0957-4174 |
Citations | PageRank | References |
4 | 0.41 | 21 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Fu-Kwun Wang | 1 | 94 | 22.41 |
| Timon Du | 2 | 14 | 1.62 |